Ajoutez des filigranes visibles, tels que des logos d'entreprise ou de chaînes de télévision, à vos vidéos pour améliorer la visibilité de votre marque, protéger les droits d'auteur et renforcer la reconnaissance de vos produits. ApsaraVideo Media Processing (MPS) prend en charge les image watermarks, les animated watermarks et les text watermarks. Ajoutez des filigranes selon vos besoins. Cette rubrique fournit des exemples de code utilisant le SDK MPS pour Python afin d'ajouter des filigranes.
Exemple de code
import os
import json
from urllib.parse import quote
from aliyunsdkcore.client import AcsClient
from aliyunsdkcore.acs_exception.exceptions import ClientException
from aliyunsdkcore.acs_exception.exceptions import ServerException
from aliyunsdkcore.auth.credentials import AccessKeyCredential
from aliyunsdkmts.request.v20140618.SubmitJobsRequest import SubmitJobsRequest
# Obtain an AccessKey ID and an AccessKey secret from environment variables.
credentials = AccessKeyCredential(os.environ['ALIBABA_CLOUD_ACCESS_KEY_ID'], os.environ['ALIBABA_CLOUD_ACCESS_KEY_SECRET'])
# The region_id parameter specifies the ID of the region in which your MPS service is deployed. For information about supported regions, visit https://www.alibabacloud.com/help/zh/apsaravideo-for-media-processing/latest/service-regions.
client = AcsClient(region_id = 'cn-shanghai', credential = credentials)
mps_region_id = 'cn-shanghai'
pipeline_id = '9bad1a2e3c2c4df9c6****'
# The ID of the watermark template. You can create a watermark template in the MPS console. Watermark templates are supported only for image watermarks.
watermark_template_id = '9bad1a2e3c2c4df9c6****'
template_id = 'S00000001-200030'
oss_location = 'oss-cn-shanghai'
oss_bucket = '<your bucket name>'
oss_input_object = 'input.mp4'
oss_output_object = 'output.mp4'
image_watermark_object = 'logo.png'
video_watermark_object = 'logo.mov'
request = SubmitJobsRequest()
request.set_accept_format('json')
# The job input.
job_input = {'Location': oss_location,
'Bucket': oss_bucket,
'Object': quote(oss_input_object) }
request.set_Input(json.dumps(job_input))
# The job output.
output = {'OutputObject': quote(oss_output_object)}
output['TemplateId'] = template_id
## The configurations of the image watermark.
image_watermark_input = {'Location': oss_location,
'Bucket': oss_bucket,
'Object': quote(image_watermark_object) }
image_watermark = {
'WaterMarkTemplateId': watermark_template_id,
'Type': 'Image',
'InputFile': image_watermark_input,
'ReferPos': 'TopRight',
'Width': 0.05,
'Dx': 0,
'Dy': 0
}
## The configurations of the text watermark.
text_config = {
# The content of the text watermark, which must be Base64-encoded.
'Content': '5rWL6K+V5paH5a2X5rC05Y2w',
'FontName': 'SimSun',
'FontSize': 16,
'FontColor': 'Red',
'FontAlpha': 0.5,
'Top': 10,
'Left': 10
}
text_watermark = {
'WaterMarkTemplateId': watermark_template_id,
'Type': 'Text',
'TextWaterMark': text_config
}
## The configurations of the animated image watermark.
video_watermark_input = {'Location': oss_location,
'Bucket': oss_bucket,
'Object': quote(video_watermark_object) }
video_watermark = {
'WaterMarkTemplateId': watermark_template_id,
'Type': 'Image',
'InputFile': video_watermark_input,
'ReferPos': 'BottomLeft',
'Height': 240,
'Dx': 0,
'Dy': 0
}
# Output->Watermarks
watermarks = [image_watermark, text_watermark, video_watermark]
output['WaterMarks'] = watermarks
# The response to the request.
outputs = [output]
request.set_Outputs(json.dumps(outputs))
request.set_OutputBucket(oss_bucket)
request.set_OutputLocation(oss_location)
request.set_PipelineId(pipeline_id)
response = client.do_action_with_exception(request)
# Display the response.
print(str(response, encoding='utf-8'))